Models

Z.ai's flagship. Strong on practical coding and long-context agentic work — a value pick when you want capable output at a lower price than the closed flagships.

MiniMax's frontier-class model. Strong on coding and multi-step agent work, and stays responsive across long codebases and very large prompts.

OpenAI's quick, low-cost option. Reliable and direct — a sensible default for everyday questions and routine work.

Anthropic's top reasoning model — careful, honest, and quick to catch its own mistakes, well suited to long, hard problems where correctness is everything.

DeepSeek's flagship. Careful on multi-step work and patient with long prompts — a strong value pick at the top tier.

OpenAI's top flagship. Careful and thorough on hard problems — pick when you want the most considered answer regardless of cost.

An OpenAI flagship. Strong, well-rounded reasoning that handles tricky multi-step work without getting lost.

Anthropic's everyday workhorse. Strong on multi-step work, patient with longer prompts — a safe default when you want quality without going to Opus.

Google's flagship chat model. Quick and capable across long prompts — a strong everyday pick when responsiveness matters.

Google's flagship image model. Strong on photorealism and natural edits, with quick turnaround — a sharp everyday pick.

OpenAI's flagship image model. Best for typography-heavy art, brand work, and edits where re-runs are expensive.

AssemblyAI's accuracy-focused option. Reliable names, dates, and formatting — pick when getting the words right matters more than speed.